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P2P Federated Machine Learning Projects

This repository contains projects related to P2PFL by our research group. The projects are as follows

  • FML: A library of utilities and implementation for Gossip based P2P federated machine learning.

  • CIFAR10Res-AsycGossip-3Groups-FractionC-ensemble-100clients-randomdrop: A project that implements federated learning on the CIFAR10 dataset using the asynchronous gossip algorithm. The setup consists of 3 groups with a fraction of clients contributing to the global model. An ensemble model is constructed based on the models from 100 clients, with random drop in communication.

  • FilecoinManager: A GUI that manages Filecoin, a decentralized storage system. It is proposed to be used in conjunction with the other projects to manage the storage of data and models in a decentralized manner.

Running the Projects

Each project can be run independently. Refer to the README.md files within each folder for specific instructions on how to run the projects.

License

For internal use only. Not for redistribution.

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